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For: Koumura T, Okanoya K. Automatic Recognition of Element Classes and Boundaries in the Birdsong with Variable Sequences. PLoS One 2016;11:e0159188. [PMID: 27442240 DOI: 10.1371/journal.pone.0159188] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 2.8] [Reference Citation Analysis]
Number Citing Articles
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2 Stowell D. Computational bioacoustics with deep learning: a review and roadmap. PeerJ 2022;10:e13152. [PMID: 35341043 DOI: 10.7717/peerj.13152] [Cited by in Crossref: 9] [Cited by in F6Publishing: 13] [Article Influence: 9.0] [Reference Citation Analysis]
3 Provost KL, Yang J, Carstens BC. The impacts of transfer learning, phylogenetic distance, and sample size on big-data bioacoustics.. [DOI: 10.1101/2022.02.24.481827] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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5 Steinfath E, Palacios A, Rottschäfer JR, Yuezak D, Clemens J. Fast and accurate annotation of acoustic signals with deep neural networks.. [DOI: 10.1101/2021.03.26.436927] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Arthur BJ, Ding Y, Sosale M, Khalif F, Kim E, Waddell P, Turaga SC, Stern DL. SongExplorer: A deep learning workflow for discovery and segmentation of animal acoustic communication signals.. [DOI: 10.1101/2021.03.26.437280] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
7 Rentería S, Vallejo EE, Taylor CE. Birdsong Phrase Verification and Classification Using Siamese Neural Networks.. [DOI: 10.1101/2021.03.16.435625] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Trouvain N, Hinaut X. Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs. Lecture Notes in Computer Science 2021. [DOI: 10.1007/978-3-030-86383-8_6] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Sainburg T, Thielk M, Gentner TQ. Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires. PLoS Comput Biol 2020;16:e1008228. [PMID: 33057332 DOI: 10.1371/journal.pcbi.1008228] [Cited by in Crossref: 47] [Cited by in F6Publishing: 50] [Article Influence: 23.5] [Reference Citation Analysis]
10 Cohen Y, Nicholson D, Sanchioni A, Mallaber EK, Skidanova V, Gardner TJ. TweetyNet: A neural network that enables high-throughput, automated annotation of birdsong.. [DOI: 10.1101/2020.08.28.272088] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
11 Santoso H. Sound Recognition of Four Stroke Manual Transmission Motorcycle Engine’s Damage. IOP Conf Ser : Mater Sci Eng 2020;771:012001. [DOI: 10.1088/1757-899x/771/1/012001] [Reference Citation Analysis]
12 Fu M, Mrziglod T, Luan W, Tu S, Mleczko L. Neural network modeling and simulation of the synthesis of CuInS 2 /ZnS quantum dots. Engineering Reports 2020;2. [DOI: 10.1002/eng2.12122] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Sainburg T, Thielk M, Gentner TQ. Latent space visualization, characterization, and generation of diverse vocal communication signals.. [DOI: 10.1101/870311] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 3.3] [Reference Citation Analysis]
14 Somervuo P. Time–frequency warping of spectrograms applied to bird sound analyses. Bioacoustics 2019;28:257-68. [DOI: 10.1080/09524622.2018.1431958] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.3] [Reference Citation Analysis]
15 Koumura T, Okanoya K. Distributed representation of discrete sequential vocalization in the Bengalese finch ( Lonchura striata var. domestica ). Bioacoustics 2020;29:356-73. [DOI: 10.1080/09524622.2019.1607558] [Reference Citation Analysis]